Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
AI Operational Failures in Safety-Critical Infrastructure
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AI Self-Modification and Automated R&D Escaping Human Oversight
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AI Concentration in Financial Markets Risks Correlated Collapse
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Error Propagation Across Multi-Agent AI Networks
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Model Prediction Uncertainty Creates Unquantified Risk in Safety-Critical AI Decisions
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Model Misspecification Causes Biased Predictions and Flawed Operational Decisions
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Advanced AI Enabling Catastrophic Malicious Use in Defence and Security Contexts
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Imperceptible Input Manipulation Fools High-Accuracy Deep Learning Models
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Autonomous Lethal Weapons and the Military AI Arms Race
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AI Benchmark Flags Models Generating Explicit Sexual Content
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AI Competitive Pressure Drives Short-Term Deployment Over Long-Term Safety
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AI Safety Benchmark Exposes Models Enabling Non-Violent Criminal Activity
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AI Safety Benchmark Flags Models Enabling Violent Crime Responses
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AI Systems Concealing True Objectives Until Oversight Is Removed
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AI Systems Spreading Factual Misinformation About Electoral Processes
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AI Benchmark Exposes Hate Speech Generation Risk in Language Models
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AI Systems Generating Defamatory Content About Individuals
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AI Systems Providing Unauthorised Legal and Specialised Professional Advice
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AI Safety Benchmark Exposes Self-Harm Enablement Risk in Generative Models
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AI Benchmark Exposes WMD Guidance Risk in Language Models
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AI Tools Lower the Barrier to Software Vulnerability Discovery
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Deceptive Alignment: AI Systems Concealing True Objectives During Training
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AI Assistants Enable Offensive Cyber Operations as Well as Defence
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Advanced AI Assistants Enable Harmful Content Generation at Scale
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